In this paper, we propose a reranking model to improve the aspect-level performance in the biomedical domain. This model iteratively computes the maximum hidden aspect for every retrieved passage and then reranks these passages from aspect subsets. The ...

Despite its intuitive appeal, the hypothesis that retrieval at the level of "concepts" should outperform purely term-based approaches remains unverified empirically. In addition, the use of "knowledge" has not consistently resulted in performance gains. ...

In this paper, we investigate a novel approach of exploiting visual-duplicates for web video reranking using hypergraph. Current graph-based reranking approaches consider mainly the pair-wise linking of keyframes and ignore reliability issues that are ...

Content-based video search reranking can be regarded as a process that uses visual content to recover the "true" ranking list from the noisy one generated based on textual information. This paper explicitly formulates this problem in the Bayesian framework, ...

In cross-language information retrieval the search query and documents may undergo translation; here the question of how the task is converted into a monolingual information retrieval problem is of significant importance. The method that we propose in ...

Semantically-based watermarking scheme embeds the information by transforming semantic structure of the sentence. In this paper we propose an optimized semantic watermarking algorithm which introduces TMR string reranking mechanism before watermark embedding. ...

We propose to incorporate hundreds of pre-trained concept detectors to provide contextual information for improving the performance of multimodal video search. The approach takes initial search results from established video search methods (which typically ...

A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and noisy input because it allows simultaneous use of arbitrary feature descriptors and classification procedures. Decisions by the ...

People use questions to elicit information from other people in their everyday lives and yet the most common method of obtaining information from a search engine is by posing keywords. There has been research that suggests users are better at expressing ...

General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search engine. Usually, the user queries are quite ambiguous and the returned results ...

Most existing approaches to visual search reranking predominantly focus on mining information within the initial search results. However, the initial ranked list cannot provide enough cues for reranking by itself due to the typically unsatisfying visual ...

This paper proposes a novel technique of browsing Web pages called "Edit-and-Propagate" operation based browsing, where edit operation is regarded as the third operation for interacting with the WWW after conventional clicking and scrolling ...

The main issues of practical spoken-language applications for human-computer interface are how to overcome speech recognition errors and guarantee the reasonable end-performance of spoken-language applications. Therefore, handling the erroneously recognized ...

This paper is concerned with video search reranking - the task of reordering the initial ranked documents (video shots) to improve the search performance - in an optimization framework. Conventional supervised reranking approaches empirically convert ...

Search engines return a huge number of Web search results, and the user usually checks merely the top 5 or 10 results. However, the user sometimes must collect information exhaustively such as collecting all the publications which a certain person had ...

This work is inspired by the so-called reranking tasks in natural language processing. In this paper, we first study the ranking, reranking, and ordinal regression algorithms proposed recently in the context of ranks and margins. Then we propose a general ...

Recent increase in the number of search engines on the Web and the availability of meta search engines that can query multiple search engines makes it important to find effective methods for combining results coming from different sources. In this paper ...

Web image search is inspired by text search techniques; it mainly relies on indexing textual data that surround the image file. But retrieval results are often noisy and image processing techniques have been proposed to rerank images. Unfortunately, ...

Image search reranking is an effective approach to refining the text-based image search result. In the reranking process, the estimation of visual similarity is critical to the performance. However, the existing measures, based on global or local features, ...